CSV Cleaner

Convert CSV rows with headers into a clean JSON array.

Convert a JSON array of objects into CSV with generated headers.

Validate CSV syntax and structure — checks column consistency, unclosed quotes, and empty headers.

Normalize CSV by parsing and re-emitting with consistent quoting and proper cell escaping.

Render CSV data as an interactive table for quick visual inspection.

Keep only the columns you need. Specify column names and get a slimmed-down CSV.

Drop unwanted columns from a CSV. Specify which columns to remove and get a cleaned result.

Remove duplicate rows from a CSV, keeping the header and the first occurrence of each unique row.

Convert CSV rows into XML records. Each row becomes a record element inside a records root.

Convert CSV content into a standalone HTML table document for browser-friendly sharing.

Convert a structured XML document with repeating record elements into CSV rows.

Convert CSV rows into YAML arrays of objects.

Convert YAML arrays of records into CSV rows.

Sort CSV rows by one or more columns.

Filter CSV rows by column conditions.

Join two CSV datasets on a shared key.

Split CSV content into smaller row chunks.

Transpose CSV rows and columns.

Rename, add, or remove CSV headers.

Convert CSV between comma, semicolon, tab, and pipe delimiters.

Compute row/column stats and numeric summaries for CSV data.

Add computed CSV columns with basic arithmetic formulas.

Convert CSV text between UTF-8, Latin-1, and Windows-1252 encodings.

Convert a base64-encoded XLSX workbook sheet into CSV.

Convert CSV text into an XLSX base64 output envelope.

Profile CSV columns with inferred type, emptiness, uniqueness, top values, and numeric percentiles.

Auto-detect sources and convert across supported JSON, XML, YAML, CSV, and Excel pairs, including structured JSON input and Excel base64 envelopes.

Generate deterministic mock records for JSON/CSV/XML/YAML testing.

Apply per-column transformation rules to CSV data. Chain operations like trim, uppercase, lowercase, rounding, date conversion, and find-replace.

Create a cross-tabulation (pivot table) from flat CSV data. Specify row key, column key, aggregation field, and function (count, sum, mean).

Generate mock CSV with configurable columns including uuid, email, integer, float, date, boolean, enum, and name.

Plot numeric CSV columns as a bar or line chart. Choose axes and chart type; runs 100% in the browser.

Render CSV as a color-graded table where numeric cells are colored from cool (low) to warm (high) within each column.

Convert CSV rows with headers into a clean JSON array.

Convert a JSON array of objects into CSV with generated headers.

Escape JSON into a quoted string literal for embedding.

Unescape a quoted JSON string back into readable JSON or plain text.

Flatten nested JSON objects into single-level key paths.

Rebuild nested JSON from flattened path-based keys.

Generate a draft JSON Schema from sample JSON input.

Run jq-like query expressions to extract or transform JSON data.

Convert JSON objects or arrays into well-formed XML.

Parse XML into a formatted JSON representation, preserving nested elements and attributes.

Convert CSV rows into XML records. Each row becomes a record element inside a records root.

Convert CSV content into a standalone HTML table document for browser-friendly sharing.

Convert a structured XML document with repeating record elements into CSV rows.

Convert JSON objects and arrays into clean, human-readable YAML.

Parse YAML and convert it to formatted JSON.

Convert XML structures into readable YAML output.

Convert YAML content into XML format.

Convert CSV rows into YAML arrays of objects.

Convert YAML arrays of records into CSV rows.

Merge multiple JSON documents into one output object.

Split large JSON arrays into smaller chunks.

Rename one or more keys across JSON objects.

Find and replace values in JSON content.

Join two CSV datasets on a shared key.

Split CSV content into smaller row chunks.

Transpose CSV rows and columns.

Merge multiple YAML files into one document.

Flatten nested YAML structures into path-based keys.

Rebuild nested YAML from flattened path keys.

Rename keys in YAML mappings.

Find and replace values in YAML content.

Generate RFC 6902-style patch operations from left/right JSON values.

Convert CSV between comma, semicolon, tab, and pipe delimiters.

Split a YAML top-level array into chunked sub-arrays.

Apply RFC 6902-style patch operations to JSON data.

Escape XML special characters for safe embedding.

Decode escaped XML entities back to plain characters.

Split repeated XML child elements into chunked XML documents.

Convert JSON row objects into SQL INSERT statements.

Merge two XML documents into one combined output.

Convert CSV text between UTF-8, Latin-1, and Windows-1252 encodings.

Convert a base64-encoded XLSX workbook sheet into CSV.

Convert record-like XML data into SQL INSERT statements.

Render XML as a structured HTML document for browser-friendly viewing.

Convert CSV text into an XLSX base64 output envelope.

Convert JSON row objects into an XLSX base64 output envelope.

Flatten nested XML into a path-based key representation.

Auto-detect sources and convert across supported JSON, XML, YAML, CSV, and Excel pairs, including structured JSON input and Excel base64 envelopes.